{"id":27138660,"url":"https://github.com/franalgaba/franalgaba","last_synced_at":"2026-02-18T10:33:21.559Z","repository":{"id":130776147,"uuid":"528332711","full_name":"franalgaba/franalgaba","owner":"franalgaba","description":null,"archived":false,"fork":false,"pushed_at":"2025-07-08T16:29:48.000Z","size":16,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-19T05:44:12.220Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/franalgaba.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2022-08-24T08:27:59.000Z","updated_at":"2025-07-08T16:29:52.000Z","dependencies_parsed_at":null,"dependency_job_id":"dfda34b9-056c-475a-a57f-53ade37bbf3d","html_url":"https://github.com/franalgaba/franalgaba","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/franalgaba/franalgaba","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/franalgaba%2Ffranalgaba","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/franalgaba%2Ffranalgaba/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/franalgaba%2Ffranalgaba/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/franalgaba%2Ffranalgaba/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/franalgaba","download_url":"https://codeload.github.com/franalgaba/franalgaba/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/franalgaba%2Ffranalgaba/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29576578,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-18T08:38:15.585Z","status":"ssl_error","status_checked_at":"2026-02-18T08:38:14.917Z","response_time":162,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-04-08T04:54:39.063Z","updated_at":"2026-02-18T10:33:16.551Z","avatar_url":"https://github.com/franalgaba.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# About me\n\nBuilding AI agents that manage real money. Started with ML in drones and submarines, ended up teaching machines to beat humans at DeFi.\n\n## Currently building\n\n**ARMA** manages $11M+ in DeFi yield optimization. It's the first AI agent that's actually profitable instead of just burning through VC money. Five months in and it consistently outperforms manual strategies across multiple protocols.\n\nLeading a team of 12 engineers. Raised +$5M from CoinFund, StarkWare, and Arrington Capital.\n\n## Background\n\n```\nUPM → Defense → BBVA → adidas → Giza\n```\n\nStarted with AI for autonomous systems (drones/submarines) in EU defense research projects. Moved to banking as Head of ML at BBVA creating their whole production-grade infra, then scaled consumer ML with recommender system at adidas for millions of users daily.\n\n## What I've built\n\n**ARMA (2025)**  \n$11M+ AUM autonomous yield optimization agent. First profitable AI agent in crypto.\n\n**Orion ZKML Framework (2023-2024)**  \nOpen-source framework for verifiable ML on-chain using STARKs. 35+ contributors.\n\n**Giza Platform (2023-2024)**  \nProduction ZKML cloud serving DeFi protocols.\n\n**adidas MLOps (2022-2023)**  \nML platform handling millions of daily requests globally. Reduced AI product time-to-market by 60%, optimized preprocessing/training times by 80%. Built feature store scaling to 21k TPS for real-time recommender systems.\n\n**BBVA ML (Previous)**  \nLed ML infra for banking operations. Financial ML and risk models.\n\n**Hackaton Awards** \n\n- 🥇 Best Protocol Hack - ETHGlobal NFTHack\n- 🥇 Zorb's Hack Choice - ETHGlobal NFTHack\n\n## How I think about ML leadership\n\n```python\ndef learned_the_hard_way():\n    return {\n        \"hiring\": \"Hire engineers who debug production, not just tune hyperparameters\",\n        \"product\": \"Profitable AI beats perfect AI every time\",\n        \"scaling\": \"Build systems that work when you're asleep\", \n        \"strategy\": \"Open source the framework, monetize the infrastructure\"\n    }\n```\n\n## Why ARMA works\n\nMost yield optimization is manual and emotional. ARMA uses continuous mathematical optimization. The difference comes from applying lessons from regulated banking ML and consumer-scale systems to an industry that needed better engineering discipline with lack of personalization.\n\n---\n\nCurrently focused on expanding ARMA to more chains and launching institutional programs. The goal is proving AI agents can be trusted with serious capital when built properly.\n\nIf you're working on production ML systems that handle real value, I'd love to connect.\n\n```\n🤖 Build agents that work • 👥 Lead teams that ship • 💰 Manage real capital\n```\n\n## Connect with me\n\n\u003cp align=\"left\"\u003e\n\u003ca href=\"https://twitter.com/franalgaba_\" target=\"blank\"\u003e\u003cimg align=\"center\" src=\"https://raw.githubusercontent.com/rahuldkjain/github-profile-readme-generator/master/src/images/icons/Social/twitter.svg\" alt=\"franalgaba_\" height=\"30\" width=\"40\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://linkedin.com/in/falgaba\" target=\"blank\"\u003e\u003cimg align=\"center\" src=\"https://raw.githubusercontent.com/rahuldkjain/github-profile-readme-generator/master/src/images/icons/Social/linked-in-alt.svg\" alt=\"falgaba\" height=\"30\" width=\"40\" /\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## Git blame evidence\n\n\u003cp\u003e\u0026nbsp;\u003cimg align=\"center\" src=\"https://github-readme-stats.vercel.app/api?username=franalgaba\u0026show_icons=true\u0026theme=dark\" alt=\"franalgaba\" /\u003e\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffranalgaba%2Ffranalgaba","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffranalgaba%2Ffranalgaba","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffranalgaba%2Ffranalgaba/lists"}